create_intent_version ¶

def create_intent_version(
    self,
    name: "capo_lex_model_building_service.types.intent_name.IntentName",
    *,
    config_overrides: Optional[LexModelBuildingServiceClientConfig] = None,
    checksum: Optional[
        "capo_lex_model_building_service.types.string.String"
    ] = None,
) -> "capo_lex_model_building_service.types.create_intent_version_response.CreateIntentVersionResponse":
    """<p>Creates a new version of an intent based on the <code>$LATEST</code> version of the intent. If the <code>$LATEST</code> version of this intent hasn't changed since you last updated it, Amazon Lex doesn't create a new version. It returns the last version you created.</p> <note> <p>You can update only the <code>$LATEST</code> version of the intent. You can't update the numbered versions that you create with the <code>CreateIntentVersion</code> operation.</p> </note> <p> When you create a version of an intent, Amazon Lex sets the version to 1. Subsequent versions increment by 1. For more information, see <a>versioning-intro</a>. </p> <p>This operation requires permissions to perform the <code>lex:CreateIntentVersion</code> action. </p>

    Args:
        name: <p>The name of the intent that you want to create a new version of. The name is case sensitive. </p>
        checksum: <p>Checksum of the <code>$LATEST</code> version of the intent that should be used to create the new version. If you specify a checksum and the <code>$LATEST</code> version of the intent has a different checksum, Amazon Lex returns a <code>PreconditionFailedException</code> exception and doesn't publish a new version. If you don't specify a checksum, Amazon Lex publishes the <code>$LATEST</code> version.</p>

    Raises:
        capo_lex_model_building_service.errors.bad_request_exception.BadRequestException: <p>The request is not well formed. For example, a value is invalid or a required field is missing. Check the field values, and try again.</p>
        capo_lex_model_building_service.errors.conflict_exception.ConflictException: <p> There was a conflict processing the request. Try your request again. </p>
        capo_lex_model_building_service.errors.internal_failure_exception.InternalFailureException: <p>An internal Amazon Lex error occurred. Try your request again.</p>
        capo_lex_model_building_service.errors.limit_exceeded_exception.LimitExceededException: <p>The request exceeded a limit. Try your request again.</p>
        capo_lex_model_building_service.errors.not_found_exception.NotFoundException: <p>The resource specified in the request was not found. Check the resource and try again.</p>
        capo_lex_model_building_service.errors.precondition_failed_exception.PreconditionFailedException: <p> The checksum of the resource that you are trying to change does not match the checksum in the request. Check the resource's checksum and try again.</p>
        capo_lex_model_building_service.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_lex_model_building_service.types.create_intent_version_request.CreateIntentVersionRequest]",
    ) -> OperationResponse[
        "capo_lex_model_building_service.types.create_intent_version_response.CreateIntentVersionResponse"
    ]:
        import capo_lex_model_building_service._operations.aws_deep_sense_model_building_service.create_intent_version

        output, http_response = (
            capo_lex_model_building_service._operations.aws_deep_sense_model_building_service.create_intent_version.create_intent_version(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("CreateIntentVersion")
    )
    input_: capo_lex_model_building_service.types.create_intent_version_request.CreateIntentVersionRequest = {
        "name": name
    }
    if checksum is not None:
        input_["checksum"] = checksum

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output